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BMI and proximity to a highway: Little evidence for an association

机译:身体质量指数(BMI)和靠近高速公路的情况:很少有关联

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Background There is increasing interest in obesogenic chemicals that may increase BMI in exposed individuals. Particulate air pollution appears to have obesogenic potential and ultrafine particles (UFP, <100nm) are elevated next to highways. Aims We sought to use proximity to a major highway as a surrogate for exposure to UFP and test associations with BMI for participants in the Community Assessment of Freeway Exposure and Health (CAFEH) study. Methods This analysis is based on a combined random and convenience sample of 260 adults >40 years old living in two of the study areas for CAFEH. Multi-variate regression consisted of examining the association between proximity to highway and Body Mass Index (BMI) as a continuous variable. Model-building involved consideration of many variables, including demographics, environmental exposures, illnesses and medications, physical activity and diet. Univatiate regression was conducted to determine which variables were significant with the outcome BMI. Variables that had a p-value of .05 or greater were excluded from multi-variate regression analysis. Adjusted linear regression model building was performed using a backward, forward and stepwise selection approach with a p-value of 0.15 as the entry and exit criteria. Categorical distance from the highway was included in all models. Results The Beta Estimate for proximity to highway was 0.085 and the R square value was 0.0004. Vegetable Intake, physical activity and education level were found to be significant predictors that had an expected downward effect on BMI score and a reasonable contribution to the total model variability while being born in the US showed a significant increase in BMI. Conclusions We found little of an effect of proximity to highway on BMI. However, proximity is a limited surrogate for UFP exposure and additional analysis with assigned exposures is warranted.
机译:背景技术对于可能在暴露的个体中增加BMI的富含化学物质的兴趣越来越感兴趣。颗粒状空气污染似乎具有噬菌体潜力和超细颗粒(UFP,<100nm)在高速公路旁边升高。目的,我们试图将邻近高速公路作为接触UFP和与BMI的替代品,为参与者对高速公路暴露和健康(CAFEH)研究的社区评估。方法该分析基于260名成人的组合随机和便利性样本> 40岁,居住在CAFEH的两个研究领域。多变异回归包括检查高速公路和体重指数(BMI)的接近度作为连续变量的关联。模型建设涉及对许多变量的考虑,包括人口统计,环境暴露,疾病和药物,身体活动和饮食。进行了未激发的回归,以确定哪些变量与结果BMI有显着性。 P值为.05或更大的变量被排除在多变化的回归分析之外。使用向后,前进和逐步选择方法进行调整的线性回归模型建筑,其p值为0.15作为进入和退出标准。所有型号都包含在高速公路的分类距离。结果对高速公路附近的β估计为0.085,R平方值为0.0004。蔬菜摄入量,身体活动和教育水平被发现是对BMI评分预期向下影响的重要预测因素,以及在美国出生的同时对全部模型变异的合理贡献表现出BMI的显着增加。结论我们发现靠近BMI对公路的影响很小。然而,接近是UFP曝光的有限替代物,并保证使用指定的曝光的额外分析。

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